code: def testInt32OutIdxInt64(self):
      x = np.random.randint(2, high=10, size=7000)
      y, idx, count = array_ops.unique_with_counts(
          x, out_idx=dtypes.int64
      )
      tf_y, tf_idx, tf_count = self.evaluate([y, idx, count])
  
      self.assertEqual(len(x), len(tf_idx))
      self.assertEqual(len(tf_y), len(np.unique(x)))
      for i in range(len(x)):
          self.assertEqual(x[i], tf_y[tf_idx[i]])
      for value, count in zip(tf_y, tf_count):
          self.assertEqual(count, np.sum(x == value))
  
imports: import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the UniqueWithCountsTest obj's underlying member method code with example usage: obj.testInt32OutIdxInt64() without return types